Chi-squared Test

Mr. Andersen introduces the chi-squared test, a statistical method used to determine if observed data deviates significantly from expected data due to chance or a variable being tested. He explains key concepts such as observed and expected values, null hypothesis, degrees of freedom, and critical values. Through examples involving coin flipping and dice rolling, he demonstrates how to calculate chi-squared values and interpret results. The video concludes with a challenge to apply the chi-squared test to pill bugs data.

In the example with coin flips, what were the observed and expected values?

What is the relationship between the number of outcomes and degrees of freedom in a chi-squared test?

What conclusion can be drawn if the chi-squared value is lower than the critical value?

How does the chi-squared test apply to the behavior of pill bugs in wet and dry environments?